RX 7900 XT 20GB经济之选
20 GB VRAM (+4)800 GB/s (+512)
C
Raises estimated decode speed by about 187%.52.5 tok/s 解码
Raises estimated decode speed by about 187%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Can Phi 4 reasoning vision 15B run on RX 7600 XT 16GB?
YES — Tight Fit
C49Usable
Estimated from fit model
Phi 4 reasoning vision 15B needs ~13.4 GB VRAM. RX 7600 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~18 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: LowStack: StandardBottleneck: Balanced
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Q4_K_M (Medium quality) — 13.4 GB, 18.3 tok/s, Tight fit
13.4 GB required16.0 GB available
84% VRAM used
Fit status
Tight fit
Decode
18.3 tok/s
TTFT
10605 ms
Safe context
40K
Memory
13.4 GB / 16.0 GB
Memory breakdown
Weights9.2 GB
KV Cache1.8 GB
Runtime0.9 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsPhi 4 reasoning vision 15B on RX 7600 XT 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 18.3 tok/s decode · 10.6s TTFT (warm) · 46 tok/s prefill
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 18.3 tok/s | 5784 ms | 40K |
| Coding | C | Tight fit | 18.3 tok/s | 10605 ms | 40K |
| Agentic Coding | C | Tight fit | 18.3 tok/s | 15425 ms | 40K |
| Reasoning | C | Tight fit | 18.3 tok/s | 12533 ms | 40K |
| RAG | C | Tight fit | 18.3 tok/s | 19282 ms | 40K |
Quantization options
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on RX 7600 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C50 |
Q3_K_S | 3 | 7.4 GB | Low | C51 |
NVFP4 | 4 | 8.4 GB | Medium | C51 |
Q4_K_M | 4 | 9.2 GB | Medium | C51 |
Q5_K_M | 5 | 10.8 GB | High | C51 |
Q6_KBest for your GPU | 6 | 12.3 GB | High | C50 |
Q8_0 | 8 | 16.1 GB | Very High | F0 |
F16 | 16 | 30.7 GB | Maximum | F0 |
Get started
Copy-paste commands to run Phi 4 reasoning vision 15B on your machine.
Run
lms load hf-jamesburton--phi-4-reasoning-vision-15b-gguf && lms server start升级选项
能流畅运行 Phi 4 reasoning vision 15B 的硬件
RX 7900 XTX 24GB最佳性价比
24 GB VRAM (+8)960 GB/s (+672)
C
Raises estimated decode speed by about 313%.75.5 tok/s 解码
Raises estimated decode speed by about 313%.
Adds memory headroom for longer context windows and future model growth.
~$999 MSRP
Radeon AI PRO R9700 32GBAMD 升级
32 GB VRAM (+16)640 GB/s (+352)
C
Raises estimated decode speed by about 126%.41.3 tok/s 解码
Raises estimated decode speed by about 126%.
Adds memory headroom for longer context windows and future model growth.
~$1,899 MSRP
Frequently asked questions
Can RX 7600 XT 16GB run Phi 4 reasoning vision 15B?
Yes, RX 7600 XT 16GB can run Phi 4 reasoning vision 15B with a C grade (Tight fit). Expected decode speed: 18.3 tok/s.
How much VRAM does Phi 4 reasoning vision 15B need?
Phi 4 reasoning vision 15B (15B parameters) requires approximately 13.4 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi 4 reasoning vision 15B?
The recommended quantization for Phi 4 reasoning vision 15B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi 4 reasoning vision 15B run at on RX 7600 XT 16GB?
On RX 7600 XT 16GB, Phi 4 reasoning vision 15B achieves approximately 18.3 tokens per second decode speed with a time-to-first-token of 10605ms using Q4_K_M quantization.
Can RX 7600 XT 16GB run Phi 4 reasoning vision 15B for coding?
For coding workloads, Phi 4 reasoning vision 15B on RX 7600 XT 16GB receives a C grade with 18.3 tok/s and 40K context.
What context window can Phi 4 reasoning vision 15B use on RX 7600 XT 16GB?
On RX 7600 XT 16GB, Phi 4 reasoning vision 15B can safely use up to 40K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
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